Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Measurements of Strain01:27

Measurements of Strain

2.8K
Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain...
2.8K
Distance Measurements by Taping01:18

Distance Measurements by Taping

606
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
606
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

1.2K
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Polymorphism of DNA repair gene XRCC1 and hepatocellular carcinoma risk in Chinese population.

Asian Pacific journal of cancer prevention : APJCP·2012
Same author

AKT Activation by Pdcd4 Knockdown Up-Regulates Cyclin D1 Expression and Promotes Cell Proliferation.

Genes & cancer·2012
Same author

Neurotransmitter receptors and cognitive dysfunction in Alzheimer's disease and Parkinson's disease.

Progress in neurobiology·2012
Same author

Two-step stacking by sweeping and micelle to solvent stacking using a long-chain cationic ionic liquid surfactant.

Journal of separation science·2012
Same author

DNA repair gene deficiency does not predispose human bronchial epithelial cells to benzo(a)pyrene-induced cell transformation.

Toxicology in vitro : an international journal published in association with BIBRA·2012
Same author

Use of a generalized additive model to investigate key abiotic factors affecting microcystin cellular quotas in heavy bloom areas of Lake Taihu.

PloS one·2012

Related Experiment Video

Updated: Mar 21, 2026

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

3.9K

Computer vision for yarn microtension measurement.

Qing Wang, Changhou Lu, Ran Huang

    Applied Optics
    |May 4, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an optical method for measuring yarn microtension in winding systems using computer vision. The technique accurately assesses yarn tension, crucial for textile quality, by analyzing captured images.

    More Related Videos

    Imaging Integrin Tension and Cellular Force at Submicron Resolution with an Integrative Tension Sensor
    07:20

    Imaging Integrin Tension and Cellular Force at Submicron Resolution with an Integrative Tension Sensor

    Published on: April 25, 2019

    8.1K
    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
    08:05

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

    Published on: September 9, 2022

    3.0K

    Related Experiment Videos

    Last Updated: Mar 21, 2026

    Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
    07:50

    Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

    Published on: January 27, 2023

    3.9K
    Imaging Integrin Tension and Cellular Force at Submicron Resolution with an Integrative Tension Sensor
    07:20

    Imaging Integrin Tension and Cellular Force at Submicron Resolution with an Integrative Tension Sensor

    Published on: April 25, 2019

    8.1K
    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
    08:05

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

    Published on: September 9, 2022

    3.0K

    Area of Science:

    • Textile Engineering
    • Optical Measurement
    • Computer Vision

    Background:

    • Yarn tension is critical for ensuring textile quality.
    • Accurate measurement of microtension in moving yarn is challenging.
    • Existing methods may lack precision or automation.

    Purpose of the Study:

    • To propose and validate an automated optical method for measuring moving yarn microtension.
    • To develop a computer vision-based system for real-time tension analysis.
    • To enhance textile quality control through precise tension measurement.

    Main Methods:

    • Utilizing a line laser and a linear array CCD camera to capture yarn images.
    • Employing a local border difference algorithm to identify the yarn's characteristic line.
    • Applying Fourier descriptors for noise filtering and change-point detection for vibration analysis.
    • Integrating axially moving string and catenary theory for microtension calculation.

    Main Results:

    • The system successfully classifies yarn images into sagging and vibration categories.
    • Microtension is accurately calculated based on image analysis and theoretical models.
    • Experimental results demonstrate high accuracy and effectiveness compared to resistance strain sensors.

    Conclusions:

    • The proposed optical method provides an effective and accurate means for automated yarn microtension measurement.
    • This technique offers a valuable tool for improving textile quality assurance in winding systems.
    • Computer vision and optical principles can be successfully applied to dynamic textile parameter monitoring.